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Flask & Machine Learning Open

develop backend in flask to process models of machine learning that will be delivered by the team of data scientists. The project is divided in two steps: write routes for the training of models that will be saved (pickle method). A default route can be used for all models. Upload a file, processing and running models are inside this (app.py). The second step is to prepare routes to run new forecasts from the trained model, resulting in an output of json or csv. In this second part there are two types of routes: batch processing (csv) and routes that have arguments that are forms and generate predictions of the model (like example attached). All data is saved in database. It is necessary to think of the architecture to run several models (microservices or multiprocessing) and delivery the project like a RESTful API. For example, the H2O platform is a good reference.

Budget: $500

Posted On: September 15, 2017 02:50 UTC
Category: Web, Mobile & Software Dev > Web Development
Country: Brazil
ID128796 TitleFlask & Machine Learning
TypeFixed Budget$51-$500
Is PrivateNo Created Onabout a month ago